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    A Study on the Asymmetric Rapid Intensification of Hurricane Earl (2010) Using the HWRF System 

    Source: Journal of the Atmospheric Sciences:;2014:;Volume( 072 ):;issue: 002:;page 531
    Author(s): Chen, Hua; Gopalakrishnan, Sundararaman G.
    Publisher: American Meteorological Society
    Abstract: n this study, the results of a forecast from the operational Hurricane Weather Research and Forecast (HWRF) system for Hurricane Earl (2010) are verified against observations and analyzed to understand the asymmetric rapid ...
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    The Development of a Consensus Machine Learning Model for Hurricane Rapid Intensification Forecasts with Hurricane Weather Research and Forecasting (HWRF) Data 

    Source: Weather and Forecasting:;2023:;volume( 038 ):;issue: 008:;page 1253
    Author(s): Ko, Mu-Chieh; Chen, Xiaomin; Kubat, Miroslav; Gopalakrishnan, Sundararaman
    Publisher: American Meteorological Society
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    High-Definition Hurricanes: Improving Forecasts with Storm-Following Nests 

    Source: Bulletin of the American Meteorological Society:;2021:;volume( ):;issue::;page 1
    Author(s): Alaka, Ghassan J.;Zhang, Xuejin;Gopalakrishnan, Sundararaman G.
    Publisher: American Meteorological Society
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    Sensitivity of HAFS-B Tropical Cyclone Forecasts to Planetary Boundary Layer and Microphysics Parameterizations 

    Source: Weather and Forecasting:;2024:;volume( 039 ):;issue: 004:;page 655
    Author(s): Hazelton, Andrew; Chen, Xiaomin; Alaka, Ghassan J.; Alvey, George R.; Gopalakrishnan, Sundararaman; Marks, Frank
    Publisher: American Meteorological Society
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    Factors Influencing the Track of Hurricane Dorian (2019) in the West Atlantic: Analysis of a HAFS Ensemble 

    Source: Monthly Weather Review:;2023:;volume( 151 ):;issue: 001:;page 175
    Author(s): Hazelton, Andrew; Alaka, Ghassan J.; Fischer, Michael S.; Torn, Ryan; Gopalakrishnan, Sundararaman
    Publisher: American Meteorological Society
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    A Study of the Impacts of Vertical Diffusion on the Structure and Intensity of the Tropical Cyclones Using the High-Resolution HWRF System 

    Source: Journal of the Atmospheric Sciences:;2012:;Volume( 070 ):;issue: 002:;page 524
    Author(s): Gopalakrishnan, Sundararaman G.; Marks, Frank; Zhang, Jun A.; Zhang, Xuejin; Bao, Jian-Wen; Tallapragada, Vijay
    Publisher: American Meteorological Society
    Abstract: he Hurricane Weather Research and Forecasting (HWRF) system was used in an idealized framework to gain a fundamental understanding of the variability in tropical cyclone (TC) structure and intensity prediction that may ...
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    CORRIGENDUM 

    Source: Journal of the Atmospheric Sciences:;2013:;Volume( 070 ):;issue: 007:;page 2336
    Author(s): Gopalakrishnan, Sundararaman G.; Marks, Frank; Zhang, Jun A.; Zhang, Xuejin; Bao, Jian-Wen; Tallapragada, Vijay
    Publisher: American Meteorological Society
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    The Experimental HWRF System: A Study on the Influence of Horizontal Resolution on the Structure and Intensity Changes in Tropical Cyclones Using an Idealized Framework 

    Source: Monthly Weather Review:;2010:;volume( 139 ):;issue: 006:;page 1762
    Author(s): Gopalakrishnan, Sundararaman G.; Marks, Frank; Zhang, Xuejin; Bao, Jian-Wen; Yeh, Kao-San; Atlas, Robert
    Publisher: American Meteorological Society
    Abstract: orecasting intensity changes in tropical cyclones (TCs) is a complex and challenging multiscale problem. While cloud-resolving numerical models using a horizontal grid resolution of 1?3 km are starting to show some skill ...
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    Performance of Basin-Scale HWRF Tropical Cyclone Track Forecasts 

    Source: Weather and Forecasting:;2017:;volume( 032 ):;issue: 003:;page 1253
    Author(s): Alaka, Ghassan J.;Zhang, Xuejin;Gopalakrishnan, Sundararaman G.;Goldenberg, Stanley B.;Marks, Frank D.
    Publisher: American Meteorological Society
    Abstract: AbstractThe Hurricane Weather Research and Forecasting (HWRF) Model is a dynamical model that has shown annual improvements in its tropical cyclone (TC) track forecasts as a result of various modifications. This study ...
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    Azimuthal Distribution of Deep Convection, Environmental Factors, and Tropical Cyclone Rapid Intensification: A Perspective from HWRF Ensemble Forecasts of Hurricane Edouard (2014) 

    Source: Journal of the Atmospheric Sciences:;2017:;volume 075:;issue 001:;page 275
    Author(s): Leighton, Hua; Gopalakrishnan, Sundararaman; Zhang, Jun A.; Rogers, Robert F.; Zhang, Zhan; Tallapragada, Vijay
    Publisher: American Meteorological Society
    Abstract: AbstractForecasts from the operational Hurricane Weather Research and Forecasting (HWRF)-based ensemble prediction system for Hurricane Edouard (2014) are analyzed to study the differences in both the tropical cyclone ...
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